Targeting
One agreed list of companies that fit, scored on your own won and lost deals and tiered for ABM and ABS.
ABM and ABS setupIdeal customer profile playbookIdeal customer finder
Playbook · GTM engineering
What a go-to-market engineer builds, the skills it takes, and a week-by-week plan that shows results by day 90.
A GTM engineer builds the systems behind sales and marketing: who to target, when to reach out, how email lands, how leads are routed, which AI agents do the prep and how results are measured. Clay’s head of GTM engineering, Everett Berry, describes the job as removing the process and technology blockers between a go-to-market idea and running it at scale.
Commercial
Who fits, why now, what to say.
Technical
Data, workflows, APIs, agents.
Operational
Clean data, approvals, measurement.
One agreed list of companies that fit, scored on your own won and lost deals and tiered for ABM and ABS.
ABM and ABS setupIdeal customer profile playbookIdeal customer finder
Timing: who changed, who is researching, who came back, routed to the right owner.
Domains, mailboxes, authentication, warm-up and sending limits that keep email in the inbox.
Research, prep and follow-up done by agents; people approve what is sent or saved.
Clean data, clear lifecycle stages, fast hand-offs and no lead without an owner.
Which channels and plays turn into meetings and revenue, not just activity.
Account-based marketing (ABM) aims marketing at a named list of companies. Account-based selling (ABS) is the sales side: researching each account and reaching several people in its buying group at the right moment. The GTM engineer builds the one system both teams run on: the same account list, tiers, signals and CRM view.
| Tier | Which accounts | Research | How they are worked |
|---|---|---|---|
| Tier 1 · one to one | The few dozen best-fit accounts | Full account brief and buying-group map | A plan per account, personal outreach to several people, ads and content for that account |
| Tier 2 · one to few | Clusters by industry or trigger | Short brief, one shared angle per cluster | A sequence per role, ads per cluster, events |
| Tier 3 · one to many | Every other company that fits | Fit and signal score only | Signal-triggered sequences and retargeting |
| Area | What good looks like |
|---|---|
| Commercial judgement | Can explain the ideal customer, the buying group and why a signal means "now". |
| Data | Spreadsheets, SQL basics, APIs and webhooks; knows where each field comes from. |
| Workflow tools | Clay, n8n or Zapier; builds once, documents, reuses. |
| CRM | Properties, lifecycle stages, routing and reports in HubSpot or Salesforce. |
| Deliverability | Domains, SPF, DKIM, DMARC, warm-up and sending limits. |
| AI agents | Writes skills, connects tools through MCP, sets approval steps and guardrails. |
RevOps
Stages, forecasting, reporting, tool policy, compensation data.
GTM engineer
Data, signals, outbound infrastructure, automation and agents.
In startups and small teams one person often does both. The split matters once each needs full-time attention.
Build in this order. Each step makes the next one cheaper, and each week ends with something that works, not a slide.
Days 1 to 30 · Foundation
Days 31 to 60 · Engine
Days 61 to 90 · Scale
Measure the system, not just the volume. Five numbers, reviewed weekly: meetings booked by segment and signal; time from lead to first human response; share of sends that bounce; share of CRM records with an owner and a valid stage; and pipeline created by play.
Account-based marketing (ABM) aims marketing at a named list of companies instead of anyone who fills in a form. Account-based selling (ABS) is the sales side: researching each account and reaching several people in its buying group at the right moment. They work best as one system, with the same account list, tiers and signals for both teams.
Not to start. Most of the work happens in tools such as Clay, n8n, Zapier and the CRM. Some SQL, scripting and comfort with APIs helps once workflows get bigger, and AI assistants like Claude Code make that part much easier to learn on the job.
Builds and maintains workflows that find, enrich and score accounts, keeps outbound and signal-based campaigns running, protects data quality in the CRM, and runs experiments to improve reply and conversion rates. A growing share of the work is setting up AI agents with clear approval steps.
RevOps owns how the revenue process runs and is measured: stages, forecasting, reporting, tools and policy. A GTM engineer builds the systems that create and act on pipeline: data, signals, outbound and automation. In small teams one person often does both.
Commercial judgement first: who to target, why now and what to say. Then data skills (spreadsheets, SQL basics, APIs and webhooks), workflow tools such as Clay or n8n, CRM administration, email deliverability, and the ability to build and govern AI agents.
When the team knows who to sell to but cannot reach them at the right moment at scale: manual list building, slow follow-up, signals that nobody acts on, and tools that do not talk to each other. Before that, fix positioning and the ideal customer profile.